Intellit
Enterprise AI Engineering

Artificial Intelligence

We design, build, and deploy production-grade AI systems — from autonomous multi-agent architectures to custom machine learning pipelines — engineered for scale, reliability, and measurable business outcomes.

4–16 week delivery
Projects from $4,000

Agent Types

What We Engineer

Autonomous AI Agents

Multi-step, goal-driven agents that plan, reason, and execute complex tasks across tools, APIs, and data sources without human intervention. Built on OpenClaw with enterprise security via NemoClaw.

Multi-Agent Systems

Coordinated networks of specialised agents working in parallel — research agents, execution agents, validation agents — orchestrated to complete high-complexity workflows at scale.

RAG Systems & Knowledge Intelligence

Retrieval-Augmented Generation pipelines over your proprietary data — documents, databases, communications — enabling LLMs to reason over real organisational knowledge with precision and citation accuracy.

Custom LLM Integration & Fine-Tuning

Custom integration of frontier models (Claude, GPT-4, Gemini) and open-weight models (Llama, Mistral, Nemotron) into your systems, with fine-tuning and RLHF pipelines for domain-specific performance.

Custom Full-Stack AI Application Development

End-to-end development of AI-powered web applications — from intelligent dashboards and analytics platforms to AI-native SaaS products — built with FastAPI, React/Next.js, PostgreSQL, and deployed on cloud infrastructure.

Predictive ML Systems

Supervised and unsupervised machine learning models for forecasting, classification, anomaly detection, and recommendation — trained on your data and deployed as production APIs.

Computer Vision & Multimodal AI

Image classification, object detection, document OCR, and multimodal pipelines that combine vision and language models for document intelligence and visual automation.

AI Agent APIs & Infrastructure

Production-grade agent backends with FastAPI, vector databases (Qdrant, Pinecone, pgvector), message queues, observability, and Docker/cloud deployment — built to handle real traffic, not just demos.

Technology

Our Stack

We work with the full modern AI stack — selecting the right tools for your problem, not the ones we're most comfortable with.

FastAPIPythonLangChainLlamaIndexOpenRouterClaude APIGPT-4GeminiLlamaMistralNVIDIA NemotronOpenClawNemoClawQdrantpgvectorPineconePostgreSQLReactNext.jsDockerAWSSupabase

Process

Delivery Process

01

Discovery & Scoping

We audit your operations, data infrastructure, and objectives to define exactly what AI system will create the most value and how it will be measured.

02

System Architecture

We design the agent architecture, data pipeline, model selection strategy, and integration points before writing a single line of code.

03

Engineering & Iteration

We build in production-grade environments with version control, testing, and iterative feedback loops. No black boxes.

04

Deployment, Docs & Support

We ship to your infrastructure, document everything, and offer ongoing retainer support. The system is yours — fully owned, fully understood.

Pricing

Simple, Scope-Based Pricing

AI system projects start from $4,000. Enterprise engagements are scoped individually.

Timeline: 4–16 weeks depending on complexity.

Monthly retainer support available post-deployment.

Let's Build Your AI System

Tell us the workflow you want automated. We'll scope the system and give you a clear proposal.